图 书 馆开课单位--约瑟夫·斯特凡学院
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111Networked organizations - EU projects results and lessons learned[网络组织 - 欧盟项目的成果和经验教训]
Mitja Jermol(约瑟夫·斯特凡学院)
热度：48
Mitja Jermol(约瑟夫·斯特凡学院)
热度：48
112Grobelnik Marko - Analyse the portugese statistical office website???[Marko Grobelnik-统计分析在葡萄牙的网站上？]
Marko Grobelnik(约瑟夫·斯特凡学院)
热度：28
Marko Grobelnik(约瑟夫·斯特凡学院)
热度：28
113Exploring history through newspaper archives[通过报纸看历史]
Jasna Škrbec(约瑟夫·斯特凡学院) This paper proposes a pipeline for searching and browsing through newspaper archives. It uses a combination of algorithms for extracting information f...
热度：59
Jasna Škrbec(约瑟夫·斯特凡学院) This paper proposes a pipeline for searching and browsing through newspaper archives. It uses a combination of algorithms for extracting information f...
热度：59
114Hierarchical Annotation of Medical Images[医学图像的层次注释]
Ivica Dimitrovski(约瑟夫·斯特凡学院) In this paper, we describe an approach for the automatic medical annotation task of the 2008 CLEF cross-language image retrieval campaign (ImageCLEF)....
热度：97
Ivica Dimitrovski(约瑟夫·斯特凡学院) In this paper, we describe an approach for the automatic medical annotation task of the 2008 CLEF cross-language image retrieval campaign (ImageCLEF)....
热度：97
115116Self-assembly of Nematic colloids[向列型胶体自组装]
Igor Muševič(约瑟夫·斯特凡学院) Nematic colloids are dispersions of micrometric particles in nematic liquid crystals which show unusual properties of self-assembly into regular geome...
热度：121
Igor Muševič(约瑟夫·斯特凡学院) Nematic colloids are dispersions of micrometric particles in nematic liquid crystals which show unusual properties of self-assembly into regular geome...
热度：121
117VideoLectures.net case study[VideoLectures.net案例研究]
Miha Grčar, Peter Keše(约瑟夫·斯特凡学院) The task in the VideoLectures case study is to develop a software component that will aid the VideoLectures editors in categorizing recorded lectures ...
热度：37
Miha Grčar, Peter Keše(约瑟夫·斯特凡学院) The task in the VideoLectures case study is to develop a software component that will aid the VideoLectures editors in categorizing recorded lectures ...
热度：37
118119Dimensionality Reduction by Feature Selection in Machine Learning[机器学习中的特征选择降维]
Dunja Mladenić(约瑟夫·斯特凡学院) Dimensionality reduction is a commonly used step in machine learning, especially when dealing with a high dimensional space of features. The original ...
热度：25
Dunja Mladenić(约瑟夫·斯特凡学院) Dimensionality reduction is a commonly used step in machine learning, especially when dealing with a high dimensional space of features. The original ...
热度：25
120Sparsity analsysis of term weighting schemes and application to text classification[稀疏性分析的权重计算方案和文本分类中的应用]
Janez Brank(约瑟夫·斯特凡学院) We revisit the common practice of feature selection for dimensionality and noise reduction. This typically involves scoring and ranking features based...
热度：24
Janez Brank(约瑟夫·斯特凡学院) We revisit the common practice of feature selection for dimensionality and noise reduction. This typically involves scoring and ranking features based...
热度：24